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Certificate Programme in Computational Text Analysis
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- Introduction to Computational Text Analysis
- Text Preprocessing and Cleaning: Tokenization, Stemming, Lemmatization
- N-grams and Collocations
- Sentiment Analysis and Opinion Mining
- Topic Modeling using Latent Dirichlet Allocation (LDA)
- Word Embeddings and Word2Vec
- Building a Text Classification Model (Naive Bayes, SVM)
- Natural Language Processing (NLP) Libraries and Tools
- Ethical Considerations in Computational Text Analysis
- Applications of Computational Text Analysis
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Career Role Description Data Scientist (NLP Focus) Develops and implements Natural Language Processing (NLP) algorithms for text analysis, machine learning, and data mining, working with large datasets.
High demand in UK tech.
Computational Linguist Researches and develops computational models of human language, focusing on text analysis and processing.
Strong academic and research background needed.
Text Mining Engineer Designs and builds systems for extracting meaningful information from unstructured text data; crucial for sentiment analysis and information retrieval.
In-demand skillset in finance and marketing.
NLP Consultant Provides expert advice on NLP solutions and strategies for businesses.
Excellent communication and problem-solving skills are essential.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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